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Integration of PEV and PV in Norway using multi-period ACOPF — Case study

机译:使用多期ACOPF在挪威整合PEV和PV —案例研究

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Integration of Plug-in Electric Vehicles (PEVs) and renewables poses substantial challenges in electricity distribution networks. This paper investigates the impact of large-scale PEV penetration in distribution networks, when also considering the integration of other renewable energy resources, e.g., wind, hydropower and Photovoltaics (PVs). As such, analysis on an existing low voltage local power system is conducted through simulations. We propose an AC Optimal Power Flow (ACOPF) algorithm over a time horizon of several successive hours. The resulting optimisation framework considers the control of voltage fluctuations within safe bounds, and controlled charging of PEVs, taking into account the total energy consumption of users and the forecast generation of renewables. Simulation results show that the proposed algorithm saves the total cost when compared to an uncontrolled ('dumb') charging scenario.
机译:插电式电动车(PEV)和可再生能源的集成给配电网络带来了巨大挑战。本文在考虑其他风电,水力发电和光伏(PVs)等其他可再生能源资源整合的同时,研究了大规模PEV渗透在配电网络中的影响。这样,通过模拟对现有的低压本地电力系统进行分析。我们提出了连续几个小时的时间跨度内的交流最佳功率流(ACOPF)算法。由此产生的优化框架考虑了用户的总能耗和可再生能源的预测生成量,从而控制了在安全范围内的电压波动以及对PEV的可控充电。仿真结果表明,与不受控制的(“哑”)充电方案相比,该算法节省了总成本。

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